ECCVJul, 2020
单张低分辨率图像中的 3D 人体形状和姿态的自监督学习
3D Human Shape and Pose from a Single Low-Resolution Image with Self-Supervised Learning
Xiangyu Xu, Hao Chen, Francesc Moreno-Noguer, Laszlo A. Jeni, Fernando De la Torre
TL;DR该论文提出了一种名为 RSC-Net 的算法,它通过 resolution-aware network、self-supervision 和 contrastive learning scheme 解决了低分辨率输入图像对姿态和人体形状估计的挑战,并在弱监督条件下实现了更好的结果。